Gaona Aero Material Co (300034) Fair Value & Analysis
Industrials · CN · Market cap 14.2B CNY
Fair value as of: Jun 24, 2026
Analysis
Gaona Aero Material Co (300034) currently trades at ¥18.56, while our model-based Fair Value estimate is ¥3.46 — implying the stock looks roughly 81.4% overvalued today. We read business quality at 82/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Gaona Aero Material Co.,Ltd. engages in the research, development, production, and sale of high-end metal materials in China and internationally. The company offers metal raw materials, such as casting high-temperature alloy master alloy, titanium alloy master ingot; high temperature alloy powder; and high-temperature alloy plates, rods, wires, strips, and tubes. It also provides precision casting products, including high-temperature alloy precision casting, lightweight alloy precision casting, and bialloy casting; forged disc rings products; powder metallurgy products; and precision machining of disc and ring forgings. In addition, the company offers new manufacturing products comprising high-temperature wear-resistant blocks for turbine blade crowns; MCrAlY series coating targets for blade thermal protection coating; Ni3Al-based compound products; oxide dispersion enhanced series products; and stellite alloy products. Its products are used in the aviation, aerospace, ships, nuclea…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.